Designing AI Lead Qualification Workflows Beyond the LLMDesigning AI Lead Qualification Workflows Beyond the LLM
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What does an AI lead qualification workflow actually look like?
The LLM is only one part of it.
My current approach looks roughly like this:
Lead data
↓
Industry filtering
↓
Rule-based scoring
↓
AI evidence extraction
↓
Validation
↓
Deterministic decision
↓
CRM / Follow-up
The interesting part is that AI isn't responsible for everything.
Some steps are better handled by simple rules.
Some need an LLM because the information is unstructured.
And some need validation before anything reaches the final decision.
That's how I'm thinking about AI automation:
Not “where can I add an LLM?”
But:
“Which part of this process actually benefits from AI?”
What does your AI workflow look like behind the scenes?
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